Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Adrianto Wirawan"'
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA sequencing data. However, the problem remains chall
Externí odkaz:
https://doaj.org/article/a5fa9c30c09f4131a4bd54c96547609b
Autor:
Adrianto Wirawan
The bioinformatics research area is now faced with an obstacle of ever-increasing biological data to verify their biological discovery. As data increases, so does the workload for managing, processing and analysing this data. Combined with the inhere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ca5787609df837328f66792f7841ca
https://doi.org/10.32657/10356/42096
https://doi.org/10.32657/10356/42096
Description of data: Sensitivity of individual tools and one run on CLOVE for different event types. Sensitivity is measured including half true positives (wrong event type). Events are considered recalled if any one of its fusions is found in the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f7ea110837c315d3b58b50477903a6
Autor:
Maria Cecilia Aquino, Adrianto Wirawan, Ce Zheng, Jovina L. See, Seng Chee Loon, Chee Keong Kwoh, Weisi Lin, Paul T K Chew
Publikováno v:
Journal of Medical Imaging and Health Informatics. 2:438-444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac4054627250a9c2913ad67f997dfd43
https://doi.org/10.1166/jmihi.2012.1119
https://doi.org/10.1166/jmihi.2012.1119
Publikováno v:
Scientific Programming, Vol 17, Iss 1-2, Pp 97-111 (2009)
The enormous growth of biological sequence databases has caused bioinformatics to be rapidly moving towards a data-intensive, computational science. As a result, the computational power needed by bioinformatics applications is growing rapidly as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f34764e18073f4ff29906cc552decee9
https://doi.org/10.1155/2009/615038
https://doi.org/10.1155/2009/615038
Publikováno v:
Briefings in bioinformatics. 14(1)
The prevalence of tandem repeats in eukaryotic genomes and their association with a number of genetic diseases has raised considerable interest in locating these repeats. Over the last 10-15 years, numerous tools have been developed for searching tan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42046ce190239111abda9194ddd6294
https://pubmed.ncbi.nlm.nih.gov/22648964
https://pubmed.ncbi.nlm.nih.gov/22648964
Autor:
Mani Baskaran, Chee Keong Kwoh, Fengshou Yin, Adrianto Wirawan, Jiang Liu, Zhuo Zhang, Tien Yin Wong, Carol Y. Cheung, Tin Aung
Publikováno v:
EMBC
Scopus-Elsevier
Scopus-Elsevier
Min-Redundancy Max-Relevance (mRMR) is a feature selection methodology based on information theory. We explore the mRMR principle for automatic glaucoma diagnosis. Optimal candidate feature sets are acquired from a composition of clinical screening d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67164deef13e554d9bb4dc705133ea19
https://pubmed.ncbi.nlm.nih.gov/22255762
https://pubmed.ncbi.nlm.nih.gov/22255762
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642167492
CSBio
CSBio
A tandem repeat in DNA is a sequence of two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats occur in the genomes of both eukaryotic and prokaryotic organisms. They are important in numerous fields including disease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c02cd3921f086071e85c8c77ac27cfe
https://doi.org/10.1007/978-3-642-16750-8_14
https://doi.org/10.1007/978-3-642-16750-8_14
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642019692
ICCS (1)
ICCS (1)
Multiple sequence alignment is an important tool in bioinformatics. Although efficient heuristic algorithms exist for this problem, the exponential growth of biological data demands an even higher throughput. The recent emergence of accelerator techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5da0d0cad7683824aa6982e130a611d6
https://doi.org/10.1007/978-3-642-01970-8_96
https://doi.org/10.1007/978-3-642-01970-8_96
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783540681052
PPAM
PPAM
Sequence alignment is one of the most important techniques in Bioinformatics. Although efficient dynamic programming algorithms exist for this problem, the alignment of very long DNA sequences still requires significant time on traditional computer a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd196aeb6d51e110de38f6dd392cfa16
https://doi.org/10.1007/978-3-540-68111-3_132
https://doi.org/10.1007/978-3-540-68111-3_132